Research Lead, Open Benchmarks Grants

Posted 2 Days Ago
Be an Early Applicant
2 Locations
In-Office or Remote
231K-390K Annually
Entry level
Artificial Intelligence • Machine Learning
Advancing frontier AI through better data – and delivering real-world outcomes, faster
The Role
Leads development of frontier AI benchmarks and datasets in collaboration with academic and commercial partners. Designs evaluation datasets, translates research findings into customer-facing narratives, informs product and company strategy, and represents Snorkel through publications, talks, reports, and customer engagements. Requires expertise in AI/ML evaluation or NLP, rigorous experimental design, strong communication, cross-functional collaboration, and interest in AI data commercialization.
Summary Generated by Built In

About Snorkel

Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. We combine technology with research-driven AI data development to create datasets, benchmarks, evals, and custom solutions for real-world AI systems. Founded out of the Stanford AI Lab in 2019, Snorkel works with leading AI labs and enterprises to move from better data to better outcomes. 
Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!

About Open Benchmarks Grants

Open Benchmarks Grants is Snorkel’s $30M commitment to fund and support researchers and independent builders developing new AI evaluations. We support the teams behind Terminal-Bench, OSWorld 2.0, and Senior SWE-bench, and run a Research Fellows program for PhD students and postdocs. The program funds work in areas including physical AI, scientific discovery, cybersecurity, safety, and alignment, and helps teams test and strengthen their benchmarks before public release.

What you’ll do

  • Shape our research bets in open benchmarks & evaluation. Identify gaps in how frontier AI is evaluated. Review proposals with Snorkel’s senior researchers, work with prospective collaborators to strengthen their ideas, and help decide where we allocate our Open Benchmark Grants.
  • Advance frontier evaluation research with our research partners. Work alongside grantees, Research Fellows, and Snorkel research leads to define what each benchmark measures, design tasks and experiments, and turn learnings into artifacts that other researchers can build on.
  • Drive adoption and scientific exchange with frontier labs. Work directly with lab researchers to understand what they need to measure, help them integrate and interpret the benchmarks we support, and use their findings to inform subsequent research.

What we’re looking for

  • A research track record in evaluation. You’ve led or made substantial contributions to benchmarks, evaluation methods, or environments that researchers or model-development teams use. 
  • Technical judgment about quality & experimental rigor. You can assess whether an evaluation measures what it claims, recognize alternative explanations for a result, and design experiments that resolve the uncertainty. You know which limitations matter enough to change the research direction.
  • Hands-on technical depth. You’re comfortable moving between research questions and implementation: building experiments, inspecting tasks and harnesses, debugging verifiers, and analyzing model behavior.
  • The ability to lead through research collaboration. You’ve helped other researchers make difficult technical decisions and bring work to completion. 
  • Clear technical communication. Your papers, research artifacts, specifications, or reviews make complex ideas understandable and claims precise. 

Actual compensation will be determined based on factors including skills, qualifications, experience, and geographic location.

Salary range(s) for this role
$231,000—$390,000 USD

Be Your Best at Snorkel

Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success.

Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Skills Required

  • Strong research background in AI/ML evaluation, NLP, or related fields
  • Track record of rigorous experimental design measuring training and evaluation data impact on model behavior
  • Exceptional communication skills for technical and non-technical audiences
  • Ability to work cross-functionally in a fast-moving, ambiguous environment
  • Interest in go-to-market strategy, startup dynamics, and commercial AI data services
  • Ph.D. in machine learning, NLP, or a related field, or equivalent industry or research lab experience

Snorkel AI Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Snorkel AI and has not been reviewed or approved by Snorkel AI.

  • Healthcare Strength — Comprehensive medical, dental, and vision plans cover employees and dependents, with disability and life insurance included. A yearly wellness stipend supplements core health coverage.
  • Leave & Time Off Breadth — Unlimited vacation, paid holidays, and paid sick days are offered. Company-wide rest days are also referenced, expanding time-off support.
  • Parental & Family Support — Parental leave for birthing and non-birthing parents and childcare benefits are provided. Flexible work arrangements and remote-friendly perks further support family needs.

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The Company
HQ: Redwood, CA
Year Founded: 2019

What We Do

Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. We combine platform technology with research-driven data development to create datasets, benchmarks, evals, and custom solutions for real-world AI systems. Founded out of the Stanford AI Lab in 2019, Snorkel works with leading AI labs and enterprises to move from better data to better outcomes. Snorkel led the development of Senior SWE-Bench and launched Open Benchmarks Grants with a $3 million commitment to support open-source datasets, benchmarks, and evaluation research. Supported projects include Agents’ Last Exam, OSWorld 2.0, Terminal-Bench, Continual Learning Bench, and SlopCode Bench.

Why Work With Us

Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly,offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly.

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